Data Engineer

Posted:
12/19/2024, 4:48:55 PM

Location(s):
Federal Territory of Kuala Lumpur, Malaysia ⋅ Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Experience Level(s):
Junior ⋅ Mid Level ⋅ Senior

Field(s):
Data & Analytics

We are seeking a skilled Data Engineer to join our team for a data warehouse migration project. The successful candidate will be responsible for migrating our client's data warehouse from Oracle DB to Snowflake and transitioning the ETL tool from Informatica to Matillion. This role requires a deep understanding of data migration processes, including analyzing existing database processes (packages, cursors, stored procedures) and replicating them in Snowflake.


Key Responsibilities:

  • Analyze and understand existing database processes, including packages, cursors, and stored procedures in Oracle DB.
  • Design and implement data migration strategies to move data from Oracle DB to Snowflake.
  • Transition ETL processes from Informatica to Matillion, ensuring data integrity and performance.
  • Collaborate with stakeholders to gather and analyze requirements, ensuring that the migration meets business needs.
  • Develop and maintain documentation for data migration processes and ETL workflows.
  • Troubleshoot and resolve issues related to data migration and ETL processes.
  • Ensure data quality and consistency throughout the migration process.
  • Prioritize tasks and manage time effectively to meet project deadlines.
  • Qualifications:
  • Proven experience in data warehouse migration projects, specifically migrating from Oracle DB to Snowflake.
  • Strong knowledge of ETL tools, particularly Informatica and Matillion.
  • Proficiency in SQL and experience with database management systems.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills.
  • Ability to work independently and as part of a team.

Qualifications:

  • Experience with cloud-based data warehousing solutions.
  • Familiarity with data modeling and data architecture principles.
  • Knowledge of data governance and data quality best practices.

About Accenture

Accenture is a leading global professional services company that helps the world’s leading organizations build their digital core, optimize their operations, accelerate revenue growth and enhance services—creating tangible value at speed and scale. We are a talent- and innovation-led company with 774,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com 

Equal Employment Opportunity Statement

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

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Accenture

Website: https://accenture.com/

Headquarter Location: Dublin, Dublin, Ireland

Employee Count: 10001+

Year Founded: 1989

IPO Status: Public

Last Funding Type: Grant

Industries: Business Information Systems ⋅ Construction ⋅ Consulting ⋅ Information Services ⋅ Information Technology ⋅ Infrastructure ⋅ Management Consulting ⋅ Outsourcing